Advanced Statistics: Statistical Distributions
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The discipline that is concerned with the collection, organization, analysis, interpretation, and presentation of data is referred to as statistics. The two main statistical methods that are used in data analysis are descriptive statistics and inferential statistics. Descriptive statistics summarizes data from a sample using indexes such as the mean or standard deviation, whereas inferential statistics draws conclusions from data that are subject to random variation. Statistics is applied in machine learning and data mining, academia, computing, business, mathematics, and arts. Statistical dis...
The discipline that is concerned with the collection, organization, analysis, interpretation, and presentation of data is referred to as statistics. The two main statistical methods that are used in data analysis are descriptive statistics and inferential statistics. Descriptive statistics summarizes data from a sample using indexes such as the mean or standard deviation, whereas inferential statistics draws conclusions from data that are subject to random variation. Statistics is applied in machine learning and data mining, academia, computing, business, mathematics, and arts. Statistical distribution refers to the parameterized mathematical function which provides the probabilities of different outcomes for a random variable. This book is compiled in such a manner, that it will provide in-depth knowledge about the theory and practice of statistical distributions. Also included herein is a detailed explanation of the various concepts and applications of this field. This book aims to equip students and experts with advanced topics and upcoming concepts in this area.
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